how can
The Analysis Factor help you with statistics?

Our programs empower you to do great statistics on your current project and throughout your career with long-term skill building.

Our process starts with a framework for building statistical skills, giving you clarity. Next we help you plan, to figure out where you are now and what you need next. Then you build statistical skills with us through the trainings, tutorials, and mentor support. If you need to dig deep into a statistical topic, take a workshop for learning a specific method from start to finish or get help figuring out the details of your analysis with full-service consulting. Finally, we help you apply those new skills. Our step-by-step process in detail here

how our programs
make the process work.

statistically speaking

membership
program

Statistically Speaking Membership is your foundation for statistical skill building and the support of a team of statistical mentors. This program takes you all the way from Clarity to Application through trainings, resources, and regular access to statistical consultants, who are available to answer your questions and get you unstuck.

the craft of statistical analysis

This free webinar series gets your skill-building started. Get intuitive understanding of a statistical topic that has stymied you for years. Or be introduced to a helpful method you’ve never heard of. Or one you keep hearing about, but don’t know where to start to learn it.

workshops

 

Need to dig deep to learn a statistical topic? Workshops give you everything you need to learn and implement a statistical method. Learn the concepts, steps, software, interpretation. Soup to nuts.

statistical consulting

Sometimes you need one-on-one intensive guidance. With consulting, you can get a little or a lot of help with choosing an approach, how to set up data, decisions to make, coding, interpretation, or communicating results.

how our programs
are different.

You get unrivaled learning support.

We know learning statistics is hard. Even harder is knowing how to apply what you’ve learned to your real, messy data. With us, you’re not learning a lot of new info then left to figure out how to apply it on your own.

You’ll get guidance as you make decisions in your analysis. You’ll have many opportunities in every program to ask.

You get high quality teaching, approachable learning.

Our programs work together to meet you where you are. Every one is designed with care to make learning difficult statistics as easy as possible.

Have embarrassing statistics questions? That’s great. You’re in the right place. We’re here to help you, not judge you. We believe you’ll learn the most if you’re not afraid to ask the most basic question.

So please ask. We’re happy to answer.

Integrated, comprehensive statistical skills for practical application.

Sometimes you need a comprehensive deep dive into a new statistical topic. You can get that here.

More often, you need the kind of ongoing skill-building that fills in the holes of your understanding. You know, those concepts that didn’t quite make sense when you took that stats class years ago. Or the intuitive explanations of how statistics work that make decisions clear.

Or the practical problem-solving and troubleshooting that help you deal with a messy data set or the quick short cut you didn’t know existed.

latest blog posts

Member Training: Linear Regression in SPSS (Tutorial)

March 29, 2024 • Kat Caldwell

Regression is one of the most common analyses in statistics. Most of us learn it in grad school, and we learned it in a specific software. Maybe SPSS, maybe another software package. The thing is, depending on your training and when you did it, there is SO MUCH to know about doing a regression analysis […] Read More

Too Many Colors Spoil the Graph

March 26, 2024 • guest contributer

When you draw a graph- either a bar chart, a scatter plot, or even a pie chart, you have the choice of a broad range of colors that you can use. R, for example, has 657 different colors from aliceblue to yellowgreen. SAS has 13 shades of orange, 33 shades of blue, and 47 shades […] Read More

Assumptions of Linear Models are about Errors, not the Response Variable

March 19, 2024 • Karen Grace-Martin

I recently received a great question in a comment about whether the assumptions of normality, constant variance, and independence in linear models are about the residuals or the response variable. The asker had a situation where Y, the response, was not normally distributed, but the residuals were. Read More